ECG Embedded Software Engineer — Medical Devices

Analog Devices; Valencia; Presencial; EUR 70.000 - 94.000; Jornada completa

Descripción de la vacante

Analog Devices, Inc. in Valencia is seeking a hands‑on Algorithm & Software Engineer to lead ECG‑focused signal‑processing algorithm design and embedded software for medical devices.

This role ensures accurate physiological interpretation and robust performance across clinical conditions, with close collaboration across hardware, firmware, clinical, and QA teams. You will implement production‑quality code in embedded C/C++, Python, and support Design Transfer into production firmware and cloud

Formación

• Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or related field.
• 5+ years of experience in signal processing, real‑time algorithms, or embedded medical device software.
• Expertise in ECG signal processing, including filtering and beat detection.
• Strong Python and C/C++ programming skills.
• Experience with medical device software lifecycle processes (IEC 62304) and familiarity with ISO 13485 and ISO 14971.

Responsabilidades

• Lead ECG signal-processing algorithm design, implementation, and optimization.
• Develop production-quality embedded software in C/C++, Python.
• Collaborate with hardware, firmware, clinical science, and QA/RA teams for validation and regulatory submissions.
• Ensure documentation, traceability, and compliance with medical device standards.

Conocimientos

ECG signal processing

Python

C/C++

Embedded systems

Real-time algorithms

Regulatory experience

Educación

Bachelor’s degree in Electrical Engineering

Bachelor’s degree in Biomedical Engineering

Master’s degree or Ph.D. in related field

Herramientas

IEC 62304

ISO 13485

ISO 14971

Descripción del empleo

Analog Devices, Inc. in Valencia is seeking a hands‑on Algorithm & Software Engineer to lead ECG‑focused signal‑processing algorithm design and embedded software for medical devices.

This role ensures accurate physiological interpretation and robust performance across clinical conditions, with close collaboration across hardware, firmware, clinical, and QA teams. You will implement production‑quality code in embedded C/C++, Python, and support Design Transfer into production firmware and cloud